Triple
T19294167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Stand |
E482516
|
entity |
| Predicate | hasAwayTeamDugoutNearby |
P15042
|
FINISHED |
| Object | visiting football clubs |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: visiting football clubs | Statement: [Main Stand, hasAwayTeamDugoutNearby, visiting football clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwayTeamDugoutNearby Context triple: [Main Stand, hasAwayTeamDugoutNearby, visiting football clubs]
-
A.
hasHomeTeamDugoutView
Indicates that there is a view or perspective specifically overlooking the home team’s dugout.
-
B.
hasNearbyStadium
Indicates that one entity is located close to or in the vicinity of a stadium associated with another entity.
-
C.
hasDugouts
chosen
Indicates that one entity possesses or contains dugout areas or structures associated with it.
-
D.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
-
E.
homeFieldForALTeam
Indicates that a particular stadium or ballpark serves as the designated home field for a specific American League baseball team.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.